Amazon Relational Database Service (RDS) vs. Azure Cosmos DB
A side-by-side comparison based on G2 review data.
| Metric | Amazon Relational Database Service (RDS) | Azure Cosmos DB |
|---|---|---|
| Overall rating | 4.5 | 4.2 |
| Review count | 907 | 68 |
| Ease of use | 9.0 | 8.4 |
| Ease of setup | 9.0 | 8.2 |
| Quality of support | 8.8 | 8.5 |
| Meets requirements | 9.1 | 8.8 |
| NPS | 66.164542 | 35.59322 |
| Small Business | 28.8% | 27.9% |
| Mid-Market | 37.5% | 27.9% |
| Enterprise | 33.7% | 44.1% |
| Total page views | 646 | 202 |
| Total LLM citations | 2,389 | 883 |
Amazon Relational Database Service (RDS)
Amazon Relational Database Service (Amazon RDS) makes it easy to set up, operate, and scale a relational database in the cloud. It provides cost-efficient and resizable capacity while managing time-consuming database administration tasks such as hardware provisioning, database setup, patching and backups. It frees you up to focus on your apps so you can give them the better performance, availability, security, and compatibility they need. Amazon RDS is available on 6 familiar database instances: Amazon Aurora, MySQL, PostgreSQL, MariaDB, Oracle Database and SQL Server engines.
- Ease of Use
- Scalability
- Setup Ease
- Security
- Backup Services
- Reliability
Azure Cosmos DB
Azure Cosmos DB is a fully managed, globally distributed NoSQL and vector database service designed to support mission-critical applications with ultra-low latency and elastic scalability. It enables developers to build AI-powered applications and agents by providing seamless integration with AI services, allowing for efficient storage and querying of both NoSQL data and vectors. With its schema-agnostic JSON document model, Azure Cosmos DB simplifies the development process by automatically indexing all data, eliminating the need for manual schema or index management.
- Ease of Use
- Scalability
- Features
- Integrations
- Security Protection
- Customization